JP2018092653A - Information processing device, information processing method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device which enables a user with no expertise to easily create a desired motion of an artificial organism.SOLUTION: An information processing device comprises: a form storage section which stores information on a form of an artificial organism; a parameter configuring section which configures a physical parameter of one or more sites of the artificial organism; an objective setting section which sets a behavior objective of the artificial organism; a behavior learning section which leans behavior of the artificial organism on the basis of the configured parameter and the set objective; and an animation generation section which generates an animation in which the artificial organism moves according to the learned behavior and display the animation on a display section. The parameter configuring section can receive new input about the parameter while the animation is displayed on the display section. When the parameter configuring section receives the new input, the behavior leaning section redoes learning of the behavior of the artificial organism on the basis of the parameter to be reconfigured according to the new input.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing apparatus, an information processing method, and a program.

Currently, images of moving creatures (hereinafter also referred to as motion animations or motions) of artificial creatures such as virtual characters and robots (also called virtual creatures or artificial life) represented by two-dimensional or three-dimensional images. In order to create, there are the following problems. That is,
1. An expert needs to create an appropriate motion according to the form of each artificial creature. For example, in order to create a motion that an artificial creature walks, it is possible to manually set each part at what timing, at what speed, and in what direction, or for experts. Although it is necessary to set using software, such a task is very difficult for a user who does not have expertise.
2. Even if you can create a motion that looks like walking by simply swinging the left and right legs alternately, you can generate a physically natural motion for an artificial creature such as a virtual character that does not exist in reality. It is extremely difficult to create.
3. In order to generate a single motion, it is difficult to generate a large amount of different motions according to the purpose of running, jumping, etc., by manually setting the movement of each part one by one.

  Patent Document 1 discloses a technique relating to walking control of robots and biped animal images by calculating the movement of each part by Newtonian mechanics so that each part looks as if it is affected by gravity. Has been.

Special table 2004-531400 gazette

  Although the technique described in Patent Document 1 enables a physically natural motion to be created even by a non-expert, the created motion is a physical (non-changeable) physical feature of each part of the artificial organism. It is not easy for the user to create a desired motion, for example, a motion that humans cannot imagine, without departing from the range derived from the parameters.

  An object of the present invention is to provide an information processing apparatus, an information processing method, and a program capable of easily creating a desired motion in an artificial organism even for a user who does not have specialized knowledge.

An information processing device according to one embodiment of the present invention includes:
A form storage unit for storing information on the form of the artificial organism;
A parameter setting unit for setting physical parameters of one or more parts of the stored artificial creature;
A goal setting unit for setting a goal for the action of the stored artificial creature;
An action learning unit that learns the action of the stored artificial creature based on the set parameter and target;
An animation generation unit that generates an animation of the stored artificial creature moving according to the learned behavior and displays the animation on a display unit;
With
The parameter setting unit can accept a new input for the parameter during the display of the animation on the display unit,
When the parameter setting unit receives a new input, the behavior learning unit re-learns the stored behavior of the artificial creature based on a parameter reset according to the new input.

  According to such an aspect, the physical parameter and the action target of one or more parts of the artificial creature are set by the parameter setting unit and the target setting unit, and the set parameter and the target are set by the behavior learning unit. Because the behavior of artificial creatures is automatically learned based on this, there is no need for specialized and complicated work of manually setting the movement of each part one by one in order to generate the motion of artificial creatures In addition, it is easy to generate a large amount of different motions. Furthermore, during the display of an animation that is moving according to the learned behavior, if the movement is not what the user desires, the user can simply learn a new behavior about the parameter from the parameter setting unit and learn the behavior of the artificial creature. Can be easily redone. If this is viewed from the device side, the present device can receive feedback from the user on the spot regarding the learning result. As a result, the parameters of the artificial creature are interactively and interactively adjusted between the user and the device, so even a user who does not have specialized knowledge can easily create the desired motion in the artificial creature. can do.

In the information processing device according to one embodiment of the present invention,
The parameter setting unit displays, on the display unit, a user interface for displaying a numerical value of a plurality of input candidates for the parameter and accepting selection during display of the animation on the display unit. The parameters may be reset with

  According to such an aspect, during the display of the animation on the display unit, if the movement of the artificial creature is not desired by the user, the user selects the numerical value of the input candidate on the user interface displayed on the display unit. Learning the behavior of artificial creatures can be done easily just by performing an intuitive operation.

In the information processing device according to one embodiment of the present invention,
The parameter setting unit displays, on the display unit, a user interface for receiving a selection by displaying a plurality of options corresponding to the evaluation of the animation being displayed while displaying the animation on the display unit, and selecting a result The parameter may be reset according to

  According to such an aspect, during the display of animation on the display unit, if the movement of the artificial creature is not what the user desires, the user can respond to the evaluation of the movement in the user interface displayed on the display unit. The learning of the behavior of the artificial creature can be easily redone simply by performing an intuitive operation of selecting an option to be performed.

In the information processing device according to one embodiment of the present invention,
The target setting unit may display on the display unit a user interface that displays a plurality of input candidates for the target and receives selection.

  According to such an aspect, the user can easily set the action target of the artificial organism simply by intuitively operating from the user interface displayed on the display unit.

In the information processing device according to one embodiment of the present invention,
Specifically, for example, the input candidate for the target maximizes the moving speed, maximizes the jump height, maximizes the force of hitting an object, or maximizes the time to balance on one foot. Maximize the time to balance on handstand, and may include any one or more goals from the group consisting of:

In the information processing device according to one embodiment of the present invention,
Specifically, for example, the parameter may include a maximum value of a force that moves the part.

In the information processing device according to one embodiment of the present invention,
Specifically, for example, the parameter may include a gravitational acceleration acting on the part.

An information processing device according to one embodiment of the present invention includes:
An artificial organism information acquisition unit that acquires information on the form of one artificial organism from a database that stores information on the forms of a plurality of artificial organisms and stores the information in the configuration storage unit may be further provided.

  According to such an aspect, the artificial organism information acquisition unit acquires information on the form of one artificial organism from a plurality of artificial organisms stored in advance in the database. Depending on the user's preference, it can be easily exchanged with another artificial organism.

  The artificial organism according to one embodiment of the present invention is an artificial organism set to perform an action generated by the information processing apparatus having any of the above-described characteristics.

  An artificial organism data structure according to an aspect of the present invention is an artificial organism data structure used in an information processing apparatus having any one of the above-described characteristics, and includes an artificial organism including a parameter set by the parameter setting unit This is the data structure.

A motion generation device according to an aspect of the present invention includes:
A form storage unit for storing information on the form of the artificial organism;
A parameter setting unit for setting physical parameters of one or more parts of the stored artificial creature;
A goal setting unit for setting a goal for the action of the stored artificial creature;
An action learning unit that learns the action of the stored artificial creature based on the set parameter and target;
An animation generation unit that generates an animation of the stored artificial creature moving according to the learned behavior and displays the animation on a display unit;
With
The parameter setting unit can accept a new input for the parameter during the display of the animation on the display unit,
When the parameter setting unit receives a new input, the behavior learning unit re-learns the stored behavior of the artificial creature based on a parameter reset according to the new input.

An artificial organism growing device according to one embodiment of the present invention is provided.
A form storage unit for storing information on the form of the artificial organism;
A parameter setting unit for setting physical parameters of one or more parts of the stored artificial creature;
A goal setting unit for setting a goal for the action of the stored artificial creature;
An action learning unit that learns the action of the stored artificial creature based on the set parameter and target;
An animation generation unit that generates an animation of the stored artificial creature moving according to the learned behavior and displays the animation on a display unit;
With
The parameter setting unit can accept a new input for the parameter during the display of the animation on the display unit,
When the parameter setting unit receives a new input, the behavior learning unit re-learns the stored behavior of the artificial creature based on a parameter reset according to the new input.

An information processing method according to an aspect of the present invention includes:
Storing information on the form of the artificial organism in the form storage unit;
Setting physical parameters of one or more sites of the stored artificial organism;
Setting a goal for the action of the stored artificial creature;
Learning the behavior of the artificial organism stored in the form storage unit based on the set parameter and target;
Generating and displaying an animation in which the stored artificial creature is moving according to the learned behavior;
When a new input for the parameter is received during the display of the animation on the display unit, the stored behavior of the artificial creature is learned based on the parameter reset according to the new input. Step to redo,
Is provided.

A program according to one embodiment of the present invention is provided.
On the computer,
Storing information on the form of the artificial organism in the form storage unit;
Setting physical parameters of one or more sites of the stored artificial organism;
Setting a goal for the action of the stored artificial creature;
Learning the stored behavior of the artificial creature based on the set parameters and goals;
Generating and displaying an animation in which the stored artificial creature is moving according to the learned behavior;
When a new input for the parameter is received during the display of the animation on the display unit, the stored behavior of the artificial creature is learned based on the parameter reset according to the new input. Step to redo,
Is a program for executing

  According to the present invention, even a user who does not have specialized knowledge can easily create a desired motion in an artificial organism.

FIG. 1 is a schematic diagram illustrating a configuration of an information processing system including an information processing apparatus according to an embodiment. FIG. 2 is a schematic diagram illustrating an example of a display screen of the information processing apparatus illustrated in FIG. FIG. 3 is a schematic diagram illustrating an example of a display screen of the information processing apparatus illustrated in FIG. 4 is a schematic diagram showing a modification of the parameter input UI of the display screen shown in FIG. FIG. 5 is a schematic diagram illustrating an example of a display screen of the information processing apparatus illustrated in FIG. FIG. 6 is a schematic diagram illustrating an example of a display screen of the information processing apparatus illustrated in FIG. FIG. 7 is a flowchart illustrating an example of an information processing method by the information processing apparatus illustrated in FIG. FIG. 8 is a flowchart illustrating an example of a learning process in the information processing method illustrated in FIG. FIG. 9 is a schematic diagram illustrating an example of a data structure used in the information processing apparatus illustrated in FIG. FIG. 10 is a conceptual diagram showing an example of learning processing by the information processing apparatus shown in FIG.

  Embodiments of the present invention will be described below in detail with reference to the accompanying drawings. The embodiment described below shows an example when the present invention is implemented, and the present invention is not limited to the specific configuration described below. In carrying out the present invention, a specific configuration according to the embodiment may be adopted as appropriate.

  FIG. 1 is a schematic diagram illustrating a configuration of an information processing system 1 including an information processing apparatus 10 according to an embodiment.

  As illustrated in FIG. 1, the information processing system 1 includes an information processing device (terminal device) 10 and a database (server) 3. The information processing apparatus 10 and the database 3 are connected to be communicable with each other via a network 2 such as the Internet. The network 2 may be a wireless line or a wired line. Note that at least a part of the information processing apparatus 10 and the database 3 is realized by a computer.

  The database 3 is a server that stores information D71 relating to the forms of a plurality of artificial creatures (hereinafter referred to as characters). “Form information D71” includes, for example, the number of legs of the character, the position of each leg with respect to the torso, the number of parts of each leg (number of joints), the color / texture of the appearance, the length / thickness of the torso, The shape, the length / thickness / shape of each part, the moving direction / moving range of each joint, and the like.

  The information processing device 10 is a terminal device (motion generation device) for a user to generate a character motion. As the information processing apparatus 10, for example, a mobile terminal such as a smartphone or a tablet terminal, a notebook computer, or a desktop computer is used.

  The information processing apparatus 10 according to the present embodiment is characterized in that parameters relating to the motion of the character are adjusted interactively and bidirectionally between the user and the apparatus, as will be described later. When attention is paid to interactive / bidirectional adjustment between the user and the apparatus, the information processing apparatus 10 can be said to be a terminal apparatus (artificial organism training apparatus) for the user to grow a character.

  As illustrated in FIG. 1, the information processing apparatus 10 includes a control unit 10a, a storage unit 10b, a display unit 10c, an input unit 10d, and a communication unit 10e.

Among these, the control unit 10 a includes a parameter setting unit 11, a target setting unit 12, an action learning unit 13, an animation generation unit 14, and an artificial organism information acquisition unit 15. Each of these units 11 to 15 may be realized by a processor in the information processing apparatus 10 executing a predetermined program. These parts 11 to 15 will be described later.

  The storage unit 10b is data storage such as an internal memory or an external memory (such as an SD memory card). Various data handled by the control unit 10a are stored in the storage unit 10b. The memory | storage part 10b contains the form memory | storage part 16 which memorize | stores the information D71 regarding the form of a character (artificial creature) at least.

In the present embodiment, the storage unit 10b is, for example,
Information relating to character form D71 (information acquired from database 3), physical parameter D72 of character (parameter set by parameter setting unit 11), parameter D73 defining behavior of character (behavior learning unit) 13) and the number of learning times N
Etc. are memorized.

  The display unit 10c is an interface that displays various types of information from the information processing apparatus 10 to the user. As the display unit 10c, for example, a liquid crystal display or an organic EL display is used. 2, FIG. 3, FIG. 5 and FIG. 6 each show an example of a display screen displayed on the display unit 10c.

  The input unit 10d is an interface for the user to input various information to the information processing apparatus 10, and is, for example, a touch panel in a mobile terminal, a touch pad in a notebook computer, a keyboard, or a mouse.

  The communication unit 10 e is a communication interface between the information processing apparatus 10 and the network 2. The communication unit 10 e transmits and receives information between the information processing apparatus 10 and the database 3 via the network 2.

  Next, each part 11-15 of the control part 10a is demonstrated.

  The artificial organism information acquisition unit 15 acquires information D71 related to the form of one character from the database 3 that stores information related to the forms of a plurality of characters, and stores the information D71 in the form storage unit 16.

  Specifically, for example, the artificial organism information acquisition unit 15 displays an input screen as shown in FIG. 2 on the display unit 10 c, and the user selects one character 30 from among a plurality of characters stored in the database 3. Assists in selecting by subjective evaluation.

  In the example illustrated in FIG. 2, the input screen includes a character image display unit 31, a character name display unit 34, and a character explanation display unit 35.

  The character image display unit 31 displays an image of one character 30 stored in the database 3. The character name display unit 34 displays the name of the character 30 displayed on the character image display unit 31. The character explanation display unit 35 displays the explanation of the character 30 displayed on the character image display unit 31.

  On the character image display unit 31, a return button 32a, a forward button 32b, and an enter button 33 are arranged.

  When the return button 32a is pressed by an input from the input unit 10d, the artificial organism information acquisition unit 15 displays the information displayed by the character image display unit 31, the character name display unit 34, and the character description display unit 35, respectively, in the database 3. Is switched to the corresponding information of the previous character 30 stored in (1).

  When the forward button 32a is pressed by an input from the input unit 10d, the artificial organism information acquisition unit 15 displays information displayed by the character image display unit 31, the character name display unit 34, and the character explanation display unit 35, respectively, in the database 3. Is switched to the corresponding information of the next character 30 stored in the next.

  When the enter button 33 is pressed by an input from the input unit 10d, the artificial organism information acquisition unit 15 relates to the form of the character 30 displayed by the character image display unit 31, the character name display unit 34, and the character explanation display unit 35. Information D71 is acquired from the database 3 and stored in the form storage unit 16. Thereafter, the control unit 10a displays an input screen as shown in FIG. 3 on the display unit 10c.

  The parameter setting unit 11 sets a physical parameter D72 of one or more parts of the character (artificial organism) stored in the form storage unit 16. “Physical parameter D72” includes, for example, the weight of each part, the maximum value of the force (muscle strength) for moving each part, the maximum value of the speed (speed) for moving each part, the posture maintenance force, and the friction coefficient of each part. , Density, and acceleration of gravity acting on each part. The parameter setting unit 11 stores the numerical value of the set parameter in the storage unit 10b.

  In the example illustrated in FIG. 3, the parameter setting unit 11 displays a user interface (GUI) 22 that displays the numerical values of a plurality of input candidates for the physical parameter D72 and accepts selection on the display unit 10c and is selected. The physical parameter D72 is set with a numerical value. The “user interface (GUI) 22” is not particularly limited as long as it can be input intuitively by the user. For example, the “user interface (GUI) 22” may be a button capable of inputting discrete numerical values (see FIG. 3) or a slide bar capable of inputting continuous numerical values (FIG. 3). 4). The “input candidate numerical value” displayed by the user interface (GUI) 22 may be the numerical value itself of the physical parameter D72 (see FIG. 4), or a level corresponding to the numerical value of the physical parameter D72. An intermediate numerical value such as a value may be used (see FIG. 3).

  The parameter setting unit 11 may limit the input candidates of the physical parameter D72 according to the point 26 held by the user. For example, in the example shown in FIG. 2, the point 26 held by the user is 300P, and the parameter setting unit 11 can select only the levels 1 to 3 for the “muscle strength” parameter, and the level 4 or higher is a point higher than 300P. It is restricted so that it cannot be selected if it does not have.

  The target setting unit 12 sets a character action target stored in the form storage unit 16. The target setting unit 12 stores the set target in the storage unit 10b.

  In the example illustrated in FIG. 3, the target setting unit 12 displays a user interface (GUI) 23 that displays a plurality of input candidates for a target and accepts selection on the display unit 10 c, and sets a target with the selected item. To do. The type and form of the “user interface (GUI) 23” are not particularly limited as long as the user can input intuitively. In the illustrated example, “user interface (GUI) 22” is a pull-down list (see FIG. 5).

For example, `` candidate input for target '' is to maximize the speed of movement, maximize the height of jump, maximize the force of hitting an object, maximize the time to balance with one foot, balance with handstand To maximize the time it takes The storage unit 10b stores in advance an evaluation function that outputs an evaluation of a character's action in association with each of “input candidates for a target”. For example, the evaluation function corresponding to the goal of “maximizing moving speed” is a predetermined function of the center of gravity of the character when the character takes a predetermined action (when a parameter defining the action is input to the evaluation function). This is a function that outputs the horizontal movement distance in time (for example, 1 second), and the evaluation function corresponding to the goal of “maximizing jump height” is when the character takes a predetermined action (specifies the action) This function outputs the maximum height of the character's center of gravity from the ground when the parameter is input to the evaluation function. Is a function that outputs the flight distance of an object thrown away by the character when the action is taken (when a parameter defining the action is input to the evaluation function). Specific mathematical expressions of evaluation functions include, for example, Martin de Lasa, Igor Mordatch, Aaron Hertzmann, Feature-Based Locomotion
Controllers, ACM Transactions on Graphics, 2010, 29, 3, (Proc. SIGGRAPH) can be used.

  The target setting unit 12 can select “noun” (moving speed, jump height, etc.) and “verb” (maximize, minimize, etc.) related to the target from the pull-down list. The target may be set by a combination of the selected “noun” and “verb”.

  The behavior learning unit 13 learns the behavior of the character 30 based on the parameter D72 set by the parameter setting unit 11 and the target set by the target setting unit 12.

  Specifically, for example, the behavior learning unit 13 reads an evaluation function corresponding to the target set by the target setting unit 12 from the storage unit 10b, and a parameter D73 that defines the character's behavior is input to the evaluation function. In some cases, the parameter D73 defining the character's action is defined by a technique such as simulated annealing (SA), genetic algorithm (GA), or deep learning so that the output value of the evaluation function is sometimes higher. Perform optimization. Here, for example, a PhysX engine is used as the physics calculation engine. When the character 30 includes a sensor (such as a sensory device), the behavior learning unit 13 may optimize the parameter D73 that defines the behavior in consideration of the output of the sensor (see FIG. 10). ).

  Note that the “parameter D73 that defines the action” is a parameter that defines, for example, the momentary force applied to each joint, and defines the angle of each joint at each time.

  The animation generation unit 14 is an animation in which the character stored in the form storage unit 16 is moving in accordance with the behavior learned by the behavior learning unit 13 (that is, “parameter D73 defining behavior” which is a learning result of the behavior learning unit 13). 21 is generated and displayed on the display unit 10c (see FIG. 6).

  In the present embodiment, as shown in FIG. 6, the parameter setting unit 11 can accept a new input for the physical parameter D72 while the animation 21 is displayed on the display unit 10c.

In the example shown in FIG. 6, the parameter setting unit 11 displays a numerical value of a plurality of input candidates for the physical parameter D72 and receives a selection while displaying the animation 21 on the display unit 10c. 22 is displayed on the display unit 10c, and the physical parameter D72 is reset with the selected numerical value. The “user interface (GUI) 22” is not particularly limited as long as it can be input intuitively by the user. For example,
The “user interface (GUI) 22” may be a button capable of inputting discrete numerical values (see FIG. 6) or a slide bar capable of inputting continuous numerical values (see FIG. 4). ). The “input candidate numerical value” displayed by the user interface (GUI) 22 may be the numerical value itself of the physical parameter D72 (see FIG. 4), or a level corresponding to the numerical value of the physical parameter D72. An intermediate numerical value such as a value may be used (see FIG. 6). The parameter setting unit 11 stores the reset parameter values in the storage unit 10b.

  In the example illustrated in FIG. 6, the parameter setting unit 11 displays a plurality of (two in the illustrated example) options corresponding to the evaluation of the animation 21 while the animation 21 is displayed on the display unit 10 c. User interfaces (GUI) 24a and 24b that accept selection are displayed on the display unit 10c, and the physical parameter D72 is reset according to the selection result. In the illustrated example, the “user interface (GUI)” includes an upward arrow button 24 a corresponding to the subjective evaluation “good” and a downward arrow button 24 b corresponding to the subjective evaluation “bad”. Yes. “Evaluation” is not limited to two choices, and may be three or more choices. While the animation 21 is displayed on the display unit 10c, the parameter setting unit 11 displays a plurality of options corresponding to the evaluation of the animation 21 and accepts the selection. Can be done.

  When the parameter setting unit 11 receives a new input while the animation 21 is displayed on the display unit 10c, the behavior learning unit 13 receives a new input based on the parameter D72 reset according to the new input. The learning of the action of the character stored in 16 is redone.

  Next, an information processing method by the information processing apparatus 10 having such a configuration will be described with reference to FIG. FIG. 6 is a flowchart illustrating an example of an information processing method performed by the information processing apparatus 10.

  First, as shown in FIG. 6, the artificial organism information acquisition unit 15 obtains information D71 related to the form of one character from the database 3 that stores information related to the form of a plurality of characters based on the input from the input unit 10d. Select and acquire (step S50).

  Next, the artificial organism information acquisition unit 15 stores information D71 relating to the form of one character acquired from the database 3 in the form storage unit 16 of the storage unit 10b (step S51). The control unit 10a resets the learning count N stored in the storage unit 10b to zero.

  Next, the parameter setting unit 11 sets the physical parameter D72 of the character stored in the form storage unit 16 based on the input from the input unit 10d (step S52). The physical parameter D72 set by the parameter setting unit 11 is stored in the storage unit 10b.

  The target setting unit 12 sets a character action target stored in the form storage unit 16 based on the input from the input unit 10d (step S53). The action target set by the target setting unit 12 is stored in the storage unit 10b.

  Next, the control unit 10a determines whether or not the learning number N stored in the storage unit 10b has reached a predetermined maximum number (for example, 10,000 times) (step S54).

  When the learning number N has not reached the predetermined maximum number (step S54: YES), the behavior learning unit 13 sets the parameter D72 set by the parameter setting unit 11 and the action target set by the target setting unit 12. Based on the above, the behavior of the character stored in the form storage unit 16 is learned (step S55).

  FIG. 8 is a flowchart showing details of the learning step (step 55). As shown in FIG. 8, the behavior learning unit 13 first determines whether or not the learning count N stored in the storage unit 10b is zero (that is, the first learning) (step S61).

  When the learning frequency N is zero (first learning) (step S61: NO), the behavior learning unit 13 randomly sets the “parameter D73 that defines the behavior” of the character (step S62).

  On the other hand, when the number of learning times N is not zero (step S61: YES), the behavior learning unit 13 proceeds to step S63 described later while retaining the current value of the “parameter D73 that defines the behavior” of the character.

  Next, the behavior learning unit 13 reads the evaluation function corresponding to the target set by the target setting unit 12 from the storage unit 10b, and when the character's “parameter D73 defining behavior” is input to the evaluation function, The “parameter D73 defining action” is learned so that the output value of the evaluation function becomes higher (step S63). As the learning method, for example, an optimization method such as simulated annealing (SA) or a genetic algorithm (GA), reinforcement learning, machine learning, or the like is used.

  Thereafter, the behavior learning unit 13 increments the learning count N stored in the storage unit 10b (step S64).

  Next, the behavior learning unit 13 determines whether or not the learning count N stored in the storage unit 10b is a multiple of a predetermined value (for example, 100) (step S65). When the number of learning is not a multiple of a predetermined value (for example, 100) (step S65: NO), the behavior learning unit 13 returns to step 63 and optimizes (that is, learning) the “parameter D73 that defines the behavior”. repeat.

  When the number of learning is a multiple of a predetermined value (for example, 100) (step S65: YES), the learning process of step S55 is terminated.

  After the learning process in step S55 is completed, as shown in FIG. 7, the animation generation unit 14 causes the character stored in the form storage unit 16 to behave by the behavior learning unit 13 (that is, learning by the behavior learning unit 13). The moving animation 21 is generated according to the result “parameter D73 defining action”) and displayed on the display unit 10c (step S56).

  The parameter setting unit 11 displays, on the display unit 10c, user interfaces (GUIs) 22, 24a, and 24b that receive new inputs for the physical parameter D72 while the animation 21 is displayed on the display unit 10c.

  While the animation 21 is displayed on the display unit 10c, the control unit 10a determines whether or not there is a new input from the input unit 10d via the user interfaces (GUI) 22, 24a, and 24b (step S57). When there is no new input regarding the physical parameter D72 (step S57: NO), the control unit 10a returns to step S54 and redoes the behavior learning.

When there is a new input for the physical parameter D72 (step S57: YES), the parameter setting unit 11 resets the physical parameter D72 stored in the storage unit 10b according to the new input. (Step S58). Thereafter, the control unit 10a returns to step S54 and redoes the behavior learning.

  In step S54, when the learning number N reaches the predetermined maximum number (step S54: NO), the control unit 10a ends the series of processes.

  According to the present embodiment as described above, the parameter setting unit 11 and the target setting unit 12 set the physical parameter D72 and the action target of one or more parts of the character, and the action learning unit 13 Because the character's behavior is automatically learned based on the set parameters and goals, the movement of each part can be manually set one by one to generate the motion of the character It is not necessary to perform specialized and complicated work such as setting using software, and it is easy to generate a large amount of different motions.

  Further, according to the present embodiment, during the display of the animation moving according to the learned behavior, if the movement is not desired by the user, the user performs a new input regarding the parameter from the parameter setting unit 11. With this, it is possible to easily redo the learning of the character's behavior. If this is viewed from the device side, the present device can receive feedback from the user on the spot regarding the learning result. As a result, the parameters of the character are adjusted interactively and interactively between the user and the device, so that even a user who does not have expert knowledge can easily create a desired motion in the character. Can do. That is, even if you are not an expert, you can become creative with the help of artificial intelligence (AI).

  Further, according to the present embodiment, the parameter setting unit 11 displays the user interface 22 that displays the numerical values of the plurality of input candidates for the parameter D72 and accepts the selection while displaying the animation on the display unit 10c. Since the parameter D72 is reset with the selected numerical value displayed on the unit 10c, the user can move the character when the movement of the character is not desired by the user during the display of the animation on the display unit 10c. By simply performing an intuitive operation of selecting a numerical value of an input candidate on the user interface 22 displayed on the display unit 10c, the character's behavior can be easily learned again.

  In addition, according to the present embodiment, the parameter setting unit 11 displays a plurality of options corresponding to the evaluation of the animation being displayed and displays a selection while displaying the animation on the display unit 10c. 24b is displayed on the display unit, and the parameter D72 is reset according to the selection result. Therefore, during the animation display on the display unit 10c, if the movement of the character is not what the user desires The user can easily re-learn the action of the character simply by performing an intuitive operation of selecting an option corresponding to the evaluation of the movement on the user interfaces 24a and 24b displayed on the display unit.

  In addition, according to the present embodiment, the target setting unit 12 displays the user interface 23 that displays a plurality of input candidates for the target and accepts the selection on the display unit 10c. By simply operating intuitively from the user interface 23 displayed on the display unit 10c, it is possible to easily set a character action target.

  In addition, according to the present embodiment, the artificial organism information acquisition unit 15 acquires information D71 related to the form of one character from a plurality of characters stored in advance in the database 3, so that it is a target for motion generation. The character can be easily exchanged with another character according to the user's preference.

  Although the information processing apparatus 10 according to the present embodiment can be configured by a computer system, a program for causing the computer system to realize the information processing apparatus 10 and a recording medium on which the program is recorded are also subject to protection in this case. is there.

  In addition, a character set to perform the action generated by the information processing apparatus 10 according to the present embodiment (that is, a character set with the “parameter D73 defining action” optimized by the action learning unit 13). This is subject to protection.

  Further, the data structure of the character used in the information processing apparatus 10 according to the present embodiment, which is a physical parameter to be set by the parameter setting unit 11 (and should be learned (optimized) by the behavior learning unit 13. The data structure (see FIG. 9) of the character provided with “parameter D73 defining action”) is also a protection target of the present invention.

DESCRIPTION OF SYMBOLS 1 Information processing system 2 Network 3 Database 10 Information processing apparatus 10a Control part 10b Storage part 10c Display part 10d Input part 10e Communication part 11 Parameter setting part 12 Target setting part 13 Behavior learning part 14 Animation generation part 15 Artificial organism information acquisition part 16 Shape storage unit 21 Animation 22 Parameter input user interface 23 Target input user interface 24a Evaluation input user interface 24b Evaluation input user interface 26 Point 30 Character (artificial organism)
31 Character image display unit 32a Back button 32b Forward button 33 Enter button 34 Character name display unit 35 Character explanation display unit

Claims (14)

A form storage unit for storing information on the form of the artificial organism;
A parameter setting unit for setting physical parameters of one or more parts of the stored artificial creature;
A goal setting unit for setting a goal for the action of the stored artificial creature;
An action learning unit that learns the action of the stored artificial creature based on the set parameter and target;
An animation generation unit that generates an animation of the stored artificial creature moving according to the learned behavior and displays the animation on a display unit;
With
The parameter setting unit can accept a new input for the parameter during the display of the animation on the display unit,
When the parameter setting unit receives a new input, the behavior learning unit re-learns the stored behavior of the artificial creature based on a parameter reset according to the new input. Information processing apparatus. The parameter setting unit displays, on the display unit, a user interface for displaying a numerical value of a plurality of input candidates for the parameter and accepting selection during display of the animation on the display unit. The information processing apparatus according to claim 1, wherein the parameter is reset. The parameter setting unit displays, on the display unit, a user interface for receiving a selection by displaying a plurality of options corresponding to the evaluation of the animation being displayed while displaying the animation on the display unit, and selecting a result The information processing apparatus according to claim 1, wherein the parameter is reset according to the information. The information processing apparatus according to claim 1, wherein the target setting unit displays a user interface that displays a plurality of input candidates for the target and receives a selection on the display unit. . Input candidates for the target are: maximum speed of movement, maximum height of jump, maximum force to hit an object, maximum time for balancing on one foot, time for balancing on handstand 5. The information processing apparatus according to claim 4, wherein the information processing apparatus includes at least one target in a group consisting of: The information processing apparatus according to claim 1, wherein the parameter includes a maximum value of a force that moves the part. The information processing apparatus according to claim 1, wherein the parameter includes a gravitational acceleration acting on the part. The artificial organism information acquisition part which acquires the information about the form of one artificial creature from the database which memorizes the information about the form of a plurality of artificial creatures, and memorizes it in the form storage part, characterized by things. The information processing apparatus according to any one of 7.   An artificial organism set to perform an action generated by the information processing apparatus according to claim 1.   A data structure of an artificial organism used in the information processing apparatus according to claim 1, wherein the data structure of the artificial organism includes a parameter set by the parameter setting unit. A form storage unit for storing information on the form of the artificial organism;
A parameter setting unit for setting physical parameters of one or more parts of the stored artificial creature;
A goal setting unit for setting a goal for the action of the stored artificial creature;
An action learning unit that learns the action of the stored artificial creature based on the set parameter and target;
An animation generation unit that generates an animation of the stored artificial creature moving according to the learned behavior and displays the animation on a display unit;
With
The parameter setting unit can accept a new input for the parameter during the display of the animation on the display unit,
When the parameter setting unit receives a new input, the behavior learning unit re-learns the stored behavior of the artificial creature based on a parameter reset according to the new input. Motion generator. A form storage unit for storing information on the form of the artificial organism;
A parameter setting unit for setting physical parameters of one or more parts of the stored artificial creature;
A goal setting unit for setting a goal for the action of the stored artificial creature;
An action learning unit that learns the action of the stored artificial creature based on the set parameter and target;
An animation generation unit that generates an animation of the stored artificial creature moving according to the learned behavior and displays the animation on a display unit;
With
The parameter setting unit can accept a new input for the parameter during the display of the animation on the display unit,
When the parameter setting unit receives a new input, the behavior learning unit re-learns the stored behavior of the artificial creature based on a parameter reset according to the new input. Artificial organism breeding device. Storing information on the form of the artificial organism in the form storage unit;
Setting physical parameters of one or more sites of the stored artificial organism;
Setting a goal for the action of the stored artificial creature;
Learning the behavior of the artificial organism stored in the form storage unit based on the set parameter and target;
Generating and displaying an animation in which the stored artificial creature is moving according to the learned behavior;
When a new input for the parameter is received during the display of the animation on the display unit, the stored behavior of the artificial creature is learned based on the parameter reset according to the new input. Step to redo,
An information processing method characterized by comprising: On the computer,
Storing information on the form of the artificial organism in the form storage unit;
Setting physical parameters of one or more sites of the stored artificial organism;
Setting a goal for the action of the stored artificial creature;
Learning the stored behavior of the artificial creature based on the set parameters and goals;
Generating and displaying an animation in which the stored artificial creature is moving according to the learned behavior;
When a new input for the parameter is received during the display of the animation on the display unit, the stored behavior of the artificial creature is learned based on the parameter reset according to the new input. Step to redo,
A program for running